OpenAI is under enormous pressure to justify its sky-high valuation and the billions of dollars it needs from investors for ...

Abstract: Face morphing, as a digital image manipulation technique, is becoming increasingly prevalent, posing challenges in various fields, including biometric security, forensics, and identity ...

Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to ...

Soon, researchers may be able to create movies of their favorite protein or virus better and faster than ever before. Researchers at the Department of Energy's SLAC National Accelerator Laboratory ...

A machine-learning breakthrough could lift the veil on Earth’s early history—and supercharge the search for alien life ...

Cognitive scientist Douglas Hofstadter has argued that we redraw the borders of “real intelligence” whenever machines reach ...

Hospitals do not always have the opportunity to collect data in tidy, uniform batches. A clinic may have a handful of carefully labeled images from one scanner while holding thousands of unlabeled ...

By using reinforcement learning, researchers train virtual agent to determine the best time to administer medication based on ...

MassRobotics survey offers a snapshot of current practices, challenges, and future expectations about sensor fusion, AI ...

Abstract: The detection of fake images has become increasingly critical due to the proliferation of deepfakes and sophisticated image manipulation techniques used for misinformation, fraud, and public ...

Retinal scans, aided by artificial intelligence (AI), may soon offer doctors a simple, non-invasive way to detect several ...

New privacy models, zero-copy activation and AI orchestration are rewriting the rules for how customer intelligence gets ...